Driving value creation in the new economy following the COVID-19 crisis. Data-mining students’ satisfaction from online teaching in the virtual academic climate.

This study examines the advantages of online teaching from the perspective of students at eleven institutions of higher education, universities and colleges, in Israel. The study was conducted at the end of the second semester of their academic studies, after students had experienced “face to face” studies, and they were asked to reply freely to an open question on their evaluation of the benefits of transitioning to online teaching. Students were forced to cope with a new reality, where they were compelled to study in a “digital classroom”. The academic-social climate, the conduct of lecturer-student relations, and the relations among the students themselves, changed instantaneously, with no preparation by any of those involved. Hence, the research findings can illuminate the strengths of online teaching, with a view to the future. Was the impact of teaching and learning in the coronavirus circumstances a one-time event for the students or one from which it is possible to examine and embrace new ways of learning as they see them? Based on 1,937 fully completed surveys from eleven academic institutions, we employed a mixed methods research design. Major themes were manually tagged, and an empirical model was developed. Structural Equation Modeling (SEM) was utilized to test the model’s goodness-of-fit. Findings present a host of parameters that have a significant positive influence on students’ positive perception of the transition to online teaching. This study is the first to thoroughly examine advantages and disadvantages of the transition to online teaching among a large group of students, from several different academic institutions, and presents both qualitative and empirical results. Ethical implications of the findings are discussed.

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The Impact of BIB Spiraling-Induced Missing Data Patterns on Goodness-of-Fit Tests in Factor Analysis

Journal of Educational and Behavioral Statistics ◽

10.3102/10769986020001069 ◽

1995 ◽

Vol 20 (1) ◽

pp. 69-82 ◽

Cited By ~ 1

Author(s):

David Kaplan

Keyword(s):

Factor Analysis ◽

Missing Data ◽

Structural Equation ◽

Goodness Of Fit ◽

Covariance Matrices ◽

Equation Modeling ◽

Continuous Variables ◽

Goodness Of Fit Test ◽

New Approach ◽

The Impact

This article considers the impact of missing data arising from balanced incomplete block (BIB) spiraled designs on the chi-square goodness-of-fit test in factor analysis. Specifically, data arising from BIB designs possess a unique pattern of missing data that can be characterized as missing completely at random (MCAR). Standard approaches to factor analyzing such data rest on forming pairwise available case (PAC) covariance matrices. Developments in statistical theory for missing data show that PAC covariance matrices may not satisfy Wishart distribution assumptions underlying factor analysis, thus impacting tests of model fit. One approach, advocated by Muthén, Kaplan, and Hollis (1987) for handling missing data in structural equation modeling, is proposed as a possible solution to these problems. This study compares the new approach to the standard PAC approach in a Monte Carlo framework. Results show that tests of goodness-of-fit are very sensitive to PAC approaches even when data are MCAR, as is the case for BIB designs. The new approach is shown to outperform the PAC approach for continuous variables and is comparatively better for dichotomous variables.

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Economies of Scale Through E-Teaching in the Post-COVID Era – Students’ Improvements Recommendations Using Mixed Methods Design

International Journal of Higher Education ◽

10.5430/ijhe.v11n3p67 ◽

2021 ◽

Vol 11 (3) ◽

pp. 67

Author(s):

Eyal Eckhaus ◽

Nitza Davidovitch

Keyword(s):

Mixed Methods ◽

Learning Outcomes ◽

Structural Equation ◽

Online Teaching ◽

Economies Of Scale ◽

Teaching Method ◽

Equation Modeling ◽

Academic Institutions ◽

Mixed Methods Design ◽

Learning Centered

This study centers on a retrospective investigation of effective and pedagogic planning of academic digital courses taught during the COVID-19 crisis, from the students’ perspective. We shall focus on the difference between the traditional, teaching-centered paradigm, and the modern learning-centered approach, while emphasizing the formulation of learning outcomes in online study expanses, in light of the learning experience imposed on teachers and students at the various academic institutions.The study explored the learning outcomes from students’ point of view, as well as the benefits and challenges embodied by formulating learning goals in the post-COVID era, according to the learning-centered paradigm, relating to the strengths and weaknesses of the Zoom teaching method from the students’ perspective, predicated on 1,828 students from several institutions. We used a mixed methods design incorporating qualitative and quantitative analysis to develop the Online Teaching Recommendations (SOTR) model. We used Structural Equation Modeling (SEM) for goodness-of-fit.The research findings indicate that the various types of e-learning challenge academic institutions to carry out renewed thinking about the main potential advantage of physical academic institutions where students and teachers meet, talk, and discuss directly and unmediated, compared to virtual bodies of knowledge and teaching that are evolving at present and that are allegedly threatening to render universities irrelevant.

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Resilience Analysis of Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components

International Journal of Occupational Hygiene ◽

10.18502/ijoh.v13i2.8367 ◽

2022 ◽

Author(s):

SAMIRA GHIYASI ◽

FATEMEH VERDI BAGHDADI ◽

FARSHAD HASHEMZADEH ◽

AHMAD SOLTANZADEH

Keyword(s):

Structural Equation Modeling ◽

Crisis Management ◽

Work Experience ◽

Structural Equation ◽

Goodness Of Fit ◽

Equation Modeling ◽

Fit Indices ◽

Cross Sectional ◽

Resilience Index ◽

The Impact

Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.

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PENGARUH PENGALAMAN, KEPERCAYAAN, CITRA TERHADAP LOYALITAS MEREK DAN DAMPAKNYA TERHADAP SIKAP KONSUMEN PADA PERLUASAN MEREK OBAT FLU DAN BATUK

JEBI | Jurnal Ekonomi Bisnis Indonesia ◽

10.36310/jebi.v13i1.92 ◽

2018 ◽

Vol 13 (1) ◽

pp. 12-24

Author(s):

Handono Handoyo

Keyword(s):

Brand Loyalty ◽

Structural Equation ◽

Goodness Of Fit ◽

Design Research ◽

Brand Extension ◽

Equation Modeling ◽

Product Price ◽

Over The Counter ◽

The People ◽

The Impact

The pharmaceutical sector in Indonesia has grown by 12.5% per year, as prescriptiondrugs, Over the Counter (OTC) medicines and dietary supplements (nutrition and vitamins) allexperience increased sales. Bodrex is one type of over-the-counter medication to overcome theheadache that has been well known and believed for more than 45 years by the people in Indonesiaand then innovate manufacturers to expand the brand by launching Bodrex Flu and Cough.IMS datamarket shared Flu and Cough drug of Bodrex sales decline every year ie in 2013 amounted to 1.10%,in 2014 amounted 0.89% and in 2014 amounted to 0.84%. The purpose of this research was todetermine the effect of marketing mix composed of product, price, promotion and place of the brandloyalty so that the impact on consumer brand extension attitude. Questionnaire with closed questionsare used as design research instrument, and as many as 200 respondents were sampled in theresearch. Methods of SEM (Structural Equation Modeling) is used as a technique of data analysis,SPSS 16 and Lisrel 8.7 for windows was used to analysis the data obtained after the research. Theresearch shows that the experience, trust and image simultaneously influence the brand loyalty sothat the impact on consumer brand extension flu and cough drug eligible Goodness of fit. Partiallybrand experience significantly influence brand loyalty with t values 2.12. Partially Brand Trustaffects loyalty because it has a t value of 0.97. Partially Brand Image significant effect on purchasingdecision because have value 2,93.Secara Partial Loyalitas significant influence to ConsumerAttitude on Brand Extension because have value 11,11.

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Understanding and Predicting Students’ Entrepreneurial Intention through Business Simulation Games: A Perspective of COVID-19

Sustainability ◽

10.3390/su13041838 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1838

Author(s):

Salman Zulfiqar ◽

Hamad A. Al-reshidi ◽

Moteeb A. Al Moteri ◽

Hafiz Muhammad Basit Feroz ◽

Noraffandy Yahya ◽

...

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Online Teaching ◽

Entrepreneurial Intention ◽

Learning Performance ◽

Equation Modeling ◽

Teaching Methodology ◽

Business Simulation ◽

Simulation Games ◽

The Impact

COVID-19 has disrupted educational institutes across the world. Teachers and students are now forced to teach and study online for an unidentified period, which severely hampers the learning capacity as well the student’s intention toward entrepreneurship. This study compared the impact of traditional teaching and teaching through online management simulation games on student learning performance and further leads to entrepreneurial intention. To further understand the desirability of business simulation games, we used the technology acceptance model (TAM) and extended it by employing knowledge sharing, knowledge application, learnability, perceived pleasure, and self-efficacy as exogenous variables. For this purpose, time-lagged data were collected from 277 students enrolled in entrepreneurship courses in public sector universities. To deal with homogeneity and generalizability issues, students from different collaborative universities were asked to participate in the study. Structural equation modeling was employed for analysis, where the results depict that the students learning performance was enhanced after using simulation games compared to regular theoretical online lectures, which further encouraged them to be entrepreneurs. We also concluded that simulation games are novel and effective online teaching methodology for students during a time of crisis. The study concludes with its theoretical, practical implications, and directions for future researchers.

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Study on farmers land consolidation adaptation intention

China Agricultural Economic Review ◽

10.1108/caer-09-2016-0142 ◽

2018 ◽

Vol 10 (4) ◽

pp. 666-682 ◽

Cited By ~ 2

Author(s):

Abrham Tezera Gessesse ◽

Houjian Li ◽

Ge He ◽

Araya Alemie Berhe

Keyword(s):

Social Network ◽

Structural Equation ◽

Goodness Of Fit ◽

Rehabilitation Program ◽

Land Consolidation ◽

Equation Modeling ◽

Content Type ◽

Face To Face ◽

Effects Of Media ◽

The Impact

Purpose The purpose of this paper is to examine the effects of media and social network in the development of farmers land consolidation (LC) awareness, perception and adaptation intention decisions. Design/methodology/approach A face-to-face interview was carried out with randomly selected farmers from three districts (Neijiang, Ya’an and Dujiangyan) of Sichuan province, China. A structural equation modeling (SEM) technique was used to test the conceptual framework of this study. The SEM was set to confirmatory factor analysis of the measurement and structural models for maximum likelihood estimate by means of IBM-AMOS to capture the models goodness-of-fit. Findings The result indicates that social network contributes a significant role in the development of farmers LC awareness, perception and adaptation intention decisions than media. The total (direct and indirect) effect of social network and media toward the farmers LC adaptation intention is 56.7 and 14 percent, respectively. When farmers are aware and perceived of LC and rehabilitation program, their adaptation intention improves significantly. Therefore, social network is a useful tool in improving the awareness, perception and adaptation intention decisions of Sichuan farmers compared to media. Originality/value This study tests the applicability of SEM techniques to understand the farmers LC adaptation intentions; and synthesizes the impact of social network and media in the development of the farmers LC awareness, perception as well as adaptation intentions. This study serves as an outline for assessing the adaptation intention of farmers toward sustainable land management.

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Constraints and Consequences of Online Teaching

Sustainability ◽

10.3390/su12176982 ◽

2020 ◽

Vol 12 (17) ◽

pp. 6982 ◽

Cited By ~ 1

Author(s):

Ciprian Obrad

Keyword(s):

Work Engagement ◽

Structural Equation ◽

Online Teaching ◽

New Technologies ◽

Professional Support ◽

World Health ◽

Equation Modeling ◽

And Performance ◽

Health Organization ◽

The Impact

In Romania, like in many other European countries, schools and universities were closed and classes were transferred entirely online at the beginning of March 2020, due to the new coronavirus SARS-CoV-2 (COVID-19) outbreak, declared as a pandemic by the World Health Organization (WHO). In the context of drastic changes and uncertainty, teachers across Romania had to face the challenges of transferring lectures online. The small window of time left to adapt to new technologies, along with other stressors, called into question their work engagement and performance, as key factors for the sustainability of the educational system. An approach based on the dimensions of induced stress, resilience behavior, professional support, and work engagement was implemented to highlight the impact of socio-professional changes during the COVID-19 on the activity of 400 teachers from Romania. The designed construct was validated and subsequently a model was proposed, by using factor analysis and Structural Equation Modeling (SEM). The article brings updated information on the complex relationship between stress and resilience in the case of employees from the area of education. Among other results, the present research highlights the structure of work engagement and the mediating role of professional support in the relationship between stressors and resilience mechanisms.

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Teacher readiness for online teaching-learning during COVID −19 outbreak: a study of Indian institutions of higher education

Interactive Technology and Smart Education ◽

10.1108/itse-07-2020-0118 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Manisha Paliwal ◽

Archana Singh

Keyword(s):

Higher Education ◽

Online Education ◽

Time Management ◽

Structural Equation ◽

Online Teaching ◽

Goodness Of Fit ◽

Course Design ◽

Equation Modeling ◽

Content Type ◽

Teaching Learning

Purpose Coronavirus (COVID-19) outbreak has utterly disrupted the worldwide education system and compelled an emergency immersion of unplanned and rapid online teaching-learning. The online teaching readiness would highly depend on the competencies of teachers and skills to adapt the pedagogy and new roles by the teachers. In this context, this study aims to assess higher education institutions (HEIs) teachers’ readiness to handle online education based on the online teaching readiness competencies model. Design/methodology/approach A structured questionnaire has been adopted to survey and collect data from 296 teachers of HEIs across India. The questionnaire consisted of 29 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step first-order confirmatory factor analysis (CFA) is carried out, by using the software IBM AMOS-26. The initial model is generated for five constructs and outcomes are used to analyze the model’s goodness of fit and construct validity. In the second step structural equation modeling (SEM) is carried out to do the path analysis of the proposed model. Findings The findings connote that the level of course design competencies, communication competencies, time management competencies are not sufficient among the teachers of HEI of India, whereas the technical competencies possessed by the teachers meet the requirements for readiness to handle online education. The research is an attempt to provide possible explanations for establishing relationships between the constructs and discusses the usage of information, which can be further used to enhance the online teaching readiness competencies for the teachers of HEIs of India. Practical implications The research is an attempt to provide possible explanations for establishing relationships between the constructs and discusses the usage of information, which can be further used to enhance the online teaching readiness competencies for the teachers of HEIs of India. Originality/value Teachers’ competencies are a vital part of teaching online which has become the need of the hour in this COVID-19 outbreak. Because of the need for emergency response and strategies to minimize learning disruption at higher education, the study identifies the online teaching readiness competencies possessed by the online teaching communities and provides guidelines to enhance their capacity to build up the longer-term resilience of education systems. The study will be a ready reckoner for online training competencies which can be used as training need analysis to make each teacher highly competent to impart knowledge using online teaching platforms.

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The Impact of the Learning Effectiveness on Alumni Employability: A Case Study of a T/I Department in Taiwan

Studies in English Language Teaching ◽

10.22158/selt.v4n4p586 ◽

2016 ◽

Vol 4 (4) ◽

pp. 586

Author(s):

Pin-Shan Hsiung

Keyword(s):

Structural Equation ◽

Goodness Of Fit ◽

Core Competency ◽

Equation Modeling ◽

Parameter Estimates ◽

Learning Effectiveness ◽

Fit Indices ◽

Academic Advancement ◽

Current Employment Status ◽

The Impact

In recent years, the number of translation and interpretation courses offered in Taiwan has increased rapidly, but few studies has looked at the employability of their graduates. This paper is aimed to investigate the direct effects of curriculum on the professional careers of alumni as reflected in their current employment status and level of academic advancement. A questionnaire survey was carried out to evaluate multiple aspects of teaching, including learning effectiveness, core competency, curriculum design and repay the society. Through an analysis of 150 named and 300 anonymous questionnaires, this study analyzed the learning effectiveness as the mediator for the careers of alumni, using the Amos statistical package for Structural Equation Modeling (SEM), along with other related techniques, such as Confirmatory Factor Analysis (CFA). The analyses have produced parameter estimates and goodness-of-fit indices, which could be useful for many purposes, such as examining longitudinal data and comparing groups. It is hoped that this brief study may provide a better understanding and a basis for future studies.

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